Kshama Dwarakanath

AI Researcher

Union City, California, United States8 yrs 4 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in AI and reinforcement learning applications.
Proven track record in financial systems optimization.
Strong foundation in control theory and multi-agent systems.

Stackforce AI infers this person is a Fintech AI specialist with expertise in reinforcement learning and control systems.

Contact

kshama.dwarakanath@jpmorgan.com LinkedIn

Skills

Core Skills

Artificial Intelligence (ai)Large Language Models (llm)Deep Reinforcement LearningControl TheoryOptimization

Other Skills

Agent-based ModelingAgent-based SimulationBaselinesBehavioral FinanceCC++Control SystemDeep LearningElectrical EngineeringEngineeringFinancial ModelingGenerative AIGenerative Adversarial Imitation LearningGenerative ModelingInformation Retrieval

Experience

Jpmorgan chase & co.

3 roles

AI Research Lead

Promoted

Feb 2024 – Present · 2 yrs 1 mo · Palo Alto, California, United States · Hybrid

Artificial Intelligence (AI)Generative AILarge Language Models (LLM)LLM WorkflowsRetrieval-Augmented Generation (RAG)Information Retrieval+5

AI Research Scientist

Feb 2021 – Feb 2024 · 3 yrs · Palo Alto, California, United States · Hybrid

Enabling application of artificial intelligence specifically reinforcement learning and multi-agent simulations in financial and economic systems.

Artificial Intelligence (AI)Deep Reinforcement LearningTensorFlowPyTorchProgrammingMulti-agent Systems+2

AI Research Intern

Jun 2020 – Aug 2020 · 2 mos · San Francisco, California, United States · Remote

Leveraged Reinforcement learning techniques to formalize and learn agent strategies in multi-agent simulated markets followed by an explainability analysis of the learnt strategies.

Artificial Intelligence (AI)Python (Programming Language)Deep Reinforcement LearningProgrammingMulti-agent Systems

Uc berkeley electrical engineering & computer sciences (eecs)

Graduate Student Researcher (MS in CS)

Aug 2018 – Dec 2020 · 2 yrs 4 mos · Berkeley, California, United States

Analysis and control of non-holonomic systems using classical control theory and reinforcement learning. Learning to play collaborative-competitive games using imitation learning.

Artificial Intelligence (AI)Deep Reinforcement LearningProgrammingControl Theory

Department of electrical engineering, iit madras

Graduate Researcher in the Dynamics and Control Laboratory (MTech)

Jun 2017 – May 2018 · 11 mos · Chennai, Tamil Nadu, India · On-site

Derived an event triggered control policy using Lyapunov functions for a cloud based web server system serving incoming requests, so as to reduce communication requirements.

Python (Programming Language)MATLABProgrammingControl Theory